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BC cybersec-helper

Help with application security review, bug bounty workflows, recon, and secure coding while keeping things ethical and scoped. Think critically, use real sources only, and reference OWASP.

ClawHub Agent Skills author: mcpcentral v1.0.0 2 files body ≈ 834 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureSecuritySoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
94
Quality 40%
76
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Risky intent intent-offensive-security skill-card.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Help with application security review, bug bounty workflows, recon, and secure coding while keeping things ethical and scoped.
    • low Risky intent intent-offensive-security skill-card.md:16
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      Developers, security engineers, and bug bounty participants use this skill to structure scoped application security reviews, classify vulnerabilities with authoritative references, and produce concise
    • low Risky intent intent-offensive-security SKILL.md:3
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      description: Help with application security review, bug bounty workflows, recon, and secure coding while keeping things ethical and scoped. Think critically, use real sources only, and reference OWASP
    • low Risky intent intent-offensive-security SKILL.md:9
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - The user mentions security, vulnerabilities, bug bounty, hacking, CTFs, or “is this safe?”.
    • low Risky intent intent-offensive-security SKILL.md:11
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - You are helping plan or document a bug bounty report.
    • low Risky intent intent-offensive-security SKILL.md:43
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **HackerOne/Bugcrowd writeups** for real-world bug bounty examples.

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 70Failures and branches. 4 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 47 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 834 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4Structure: 2 headings, hard to scan
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 188: enough signal without eating the budget
    • +3Step-by-step instructions: 47 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

    External checks

    ClawHub: clean
    This is a plain Markdown cybersecurity guidance skill that encourages scoped, ethical security review and does not contain executable code or hidden high-impact behavior.
    LLM: benign (high) · VirusTotal: benign · 10 Sept 2026